• Gaikwad Shweta M
• Prof. V. A. Aher
• Chavan Kalyani P.
• Deshmukh Karishma U.
• Bansode Payal S.

: Driver drowsiness and cognitive detection is a vehicle safety technology which prevents accidents when the driver is getting drowsy or due to a diminished driver’s vigilance level. Traffic accidents became a serious concern to society and driver-related fatigue, drowsiness and due to cognition, which are a significant cause of these traffic accidents. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. Monitoring physiological signals while driving provides the possibility of detecting and alerting drivers to dangerous driving conditions and behavior. Several bio-behavioral signatures have been developed to monitor drowsiness of automobile drivers, including eye movement analysis and head inclination. However, sometimes false alarms are possible since these visual attributes are not always accompanied by drowsiness. Related studies in recent decades have shown that Electroencephalography (EEG) is one of the most reliable and effective sources to detect sleep onset while driving. The aim of this paper is to propose a system for automatic driver drowsiness detection based on EEG and a suitable wireless technology is designed to send the important notifications. A dry EEG sensor is incorporated to record EEG signals from hairy regions of the driver conveniently.

Bio-behavioral signature; Distractions; EEG sensor; Bluetooth module; Brain activity; Brain waves; Electroencephalogram- graphic (EEG) signals; Traffic; Driver-distraction prediction; Online adaptive predictions; Beep alarm.

"ONLINE PREDICTION OF DRIVER DISTRACTION BASED ON BRAIN ACTIVITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.391-396, May-2019, Available :http://www.jetir.org/papers/JETIR1905B57.pdf

"ONLINE PREDICTION OF DRIVER DISTRACTION BASED ON BRAIN ACTIVITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp391-396, May-2019, Available at : http://www.jetir.org/papers/JETIR1905B57.pdf